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Energy-Efficient Cluster in Wireless Sensor Network Using Life Time Delay Clustering Algorithms

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Computer Systems Science & Engineering 2022年第10期43卷 77-86页

作者： v.kumar N.Jayapandian P.Balasubramanie Department of Computer Science and Engineering Knowledge Institute of TechnologySalemIndia Department of Computer Science and Engineering Christ UniversityBangaloreIndia Department of Computer Science and Engineering Kongu Engineering CollegePerunduraiIndia

Through Wireless Sensor Networks(WSN)formation,industrial and academic communities have seen remarkable development in recent *** of the most common techniques to derive the best out of wireless sensor networks is to upgrade the operating *** most important problem is the arrangement of optimal number of sensor nodes as clusters to discuss clustering *** this method,new client nodes and dynamic methods are used to determine the optimal number of clusters and cluster heads which are to be better organized and proposed to classify each *** of effective energy use and the ability to decide the best method of attachments are *** Problem coverage find change ability network route due to which traffic and delays keep the performance to be very high.A newer version of Gravity Analysis Algorithm(GAA)is used to solve this *** proposed new approach GAA is introduced to improve network lifetime,increase system energy efficiency and end delay *** results show that modified GAA performance is better than other networks and it has more advanced Life Time Delay Clustering Algorithms-LTDCA *** proposed method provides a set of data collection and increased throughput in wireless sensor networks.

关键词： WSNs Gravity analysis algorithm-GAA life time delay clustering algorithms-LTDCA end to end delay energy efficient

Interleaved high-gain boost converter powered by solar energy using hybrid-based MPP tracking technique

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Clean Energy 2022年第3期6卷 460-475页

作者： S.Nagaraja Rao Suresh kumar Anisetty B.M.Manjunatha B.M.Kiran kumar v.Praveen kumar S.Pranupa MS Ramaiah University of Applied Sciences Department of Electrical EngineeringBangaloreIndia RGM College of Engineering and Technology(Autonomous) NandyalIndia

This paper presents a solar-powered interleaved high-gain boost converter(IHGBC)that increases voltage gain with fewer ripples in the output voltage in comparison to existing DC-DC *** goal of this research is to develop a hybrid-based maximum power point tracking(MPPT)approach with the combination of a flower pollination(FP)algorithm assisted with a perturb&observe(P&O)MPPT approach for solar photovoltaic(SPv)systems integrated with *** ensure effective usage of both FP and P&O algorithms,this study incorporates and validates the hybrid-based MPPT *** proposed solar-powered IHGBC with a hybrid-based MPPT algorithm has been computationally modelled and simulated using MATLAB®and Simulink®for both uniform and non-uniform irradiation and analysed for voltage gain,ripples in the output waveforms and convergence *** proposed hybrid-based MPPT is based on a number of flowers that forecast the initial global peak,assisted by P&O in the last stage for faster convergence to attain the maximum power point(MPP).As a result,the hybrid-based MPPT approach alleviates the computational issues encountered in P&O and FP-based MPP *** proposed hybrid MPPT is compared with conventional MPPT for SPv and the results show that the solar-powered IHGBC using a hybrid-based MPPT technique has negligible oscillations of 0.14%with a high-voltage gain of 7.992 and a fast convergence rate of 0.05 seconds compared to individual P&O-based MPPT and FP-based MPPT *** simulation results of the proposed MPPT with IHGBC outperform the conventional MPPT with high-gain converters.

关键词： flower pollination interleaved high-gain boost converter maximum power point tracking technique perturb&observe solar photovoltaic

EfficientNetv2 Model for Plant Disease Classification and Pest Recognition

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Computer Systems Science & Engineering 2023年第5期45卷 2249-2263页

作者： R.S.Sandhya Devi v.Rvijay kumar P.Sivakumar Department of EEE Kumaraguru College of TechnologyCoimbatore641049India Department of Electronics and Communication Engineering Anna University Regional CampusCoimbatore641046India Department of EEE PSG College of TechnologyCoimbatore641004India

Plant disease classification and prevention of spreading of the disease at earlier stages based on visual leaves symptoms and Pest recognition through deep learning-based image classification is in the forefront of *** perform the investigation on Plant and pest classification,Transfer Learning(TL)approach is used on *** requires limited labelled data and shorter training ***,the limitation of TL is the pre-trained model network’s topology is static and the knowledge acquired is detrimentally overwriting the old ***-v2 is a Convolutional Neural Network(CNN)model with significant high speed learning rates across variable sized *** model employs a form of progressive learning mechanism which expands the network topology gradually over the course of training process improving the model’s learning *** provides a better interpretability of the model’s understanding on the test *** these insights,our work investigates the effectiveness of Efficienetv2 model trained on a class imbalanced dataset for plant disease classification and pest recognition by means of combining TL and progressive learning *** Progressive Learning for TL(PL-TL)is used in our work consisting of 38 classes of Plantvillage dataset of crops and fruit species,5 classes of cassava leaf diseases and another dataset with around 102 classes of crop pest images downloaded from popular dataset platforms,though it is not a benchmark *** test the predictability rate of the model in classifying leaf diseases with similar visual symptoms,Mix-up data augmentation technique is used at the ratio of 1:4 on corn and tomato classes which has high probability of misinterpretation of disease ***,the paper compares the TL approach performed on the above mentioned three types of data set using well established CNN based Inceptionv3,and vision Transformer a non-CNN *** clearly depicts that EfficientNetv2 has an out

关键词： Image classification transfer learning efficientNetv2 mix-up data augmentation inception v3

Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach

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Computers, Materials & Continua 2023年第11期77卷 2179-2188页

作者： v.Dhilip kumar J.Praveenchandar Muhammad Arif Adrian Brezulianu Oana Geman Atif Ikram Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatoreTamil Nadu641114India Department of Computer Science Superior UniversityLahorePakistan Faculty of Electronics Telecommunications and Information Technology Gheorghe Asachi Technical University of IasiIa¸si700050Romania Department of Health and Human Development Stefan cel Mare University of SuceavaSuceava720229Romania Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala NerusMalaysia

Cloud Technology is a new platform that offers on-demand computing Peripheral such as storage,processing power,and other computer system *** is also referred to as a system that will let the consumers utilize computational resources like databases,servers,storage,and intelligence over the *** a cloud network,load balancing is the process of dividing network traffic among a cluster of available servers to increase *** is also known as a server pool or server *** a single node is overwhelmed,balancing the workload is needed to manage unpredictable *** load balancer sends the load to another free node in this *** focus on the Balancing of workflows with the proposed approach,and we present a novel method to balance the load that manages the dynamic scheduling *** of the preexisting load balancing techniques is considered,however it is somewhat modified to fit the scenario at *** on the experimentation’s findings,it is concluded that this suggested approach improves load balancing consistency,response time,and throughput by 6%.

关键词： Load balancing throttled algorithm efficient resource allocation

Multi Class Brain Cancer Prediction System Empowered with BRISK Descriptor

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Intelligent Automation & Soft Computing 2023年第5期36卷 1507-1521页

作者： Madona B.Sahaai G.R.Jothilakshmi E.Praveen v.Hemath kumar Department of Electronics and Communication Engineering VISTASChennaiTamil NaduIndia

Magnetic Resonance Imaging(MRI)is one of the important resources for identifying abnormalities in the human *** work proposes an effective Multi-Class Classiﬁcation(MCC)system using Binary Robust Invariant Scalable Keypoints(BRISK)as texture descriptors for effective classiﬁ***ﬁrst,the potential Region Of Interests(ROIs)are detected using features from the acceler-ated segment test ***,non-maxima suppression is employed in scale space based on the information in the *** discriminating power of BRISK is examined using three machine learning classiﬁers such as k-Nearest Neighbour(kNN),Support vector Machine(SvM)and Random Forest(RF).An MCC sys-tem is developed which classiﬁes the MRI images into normal,glioma,meningio-ma and pituitary.A total of 3264 MRI brain images are employed in this study to evaluate the proposed MCC *** show that the average accuracy of the proposed MCC-RF based system is 99.62%with a sensitivity of 99.16%and spe-ciﬁcity of 99.75%.The average accuracy of the MCC-kNN system is 93.65%and 97.59%by the MCC-SvM based system.

关键词： Braincancer BRISKdescriptor randomforest multi-classclassiﬁcation brain image analysis

Grid power quality enhancement using an ANFIS optimized PI controller for DG

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Protection and Control of Modern Power Systems 2022年第1期7卷 26-39页

作者： Srishail K.Bilgundi R.Sachin H.Pradeepa H.B.Nagesh M.v.Likith kumar Department of Electrical and Electronics Engineering The National Institute of EngineeringMysuruKarnatakaIndia Department of Electrical and Electronics Engineering Bangalore Institute of TechnologyBangaloreKarnatakaIndia

Grid frequency variation causes phase angle deviation in current with respect to *** is sensed at the phase-locked loop in the *** past studies the effect of grid frequency variation is neglected while designing the controller for power quality *** modern grids are connected to large numbers of non-linear loads and various types of distributed generation(DG),it results in continuous variation in grid *** it is necessary to consider the grid frequency variation for effective power quality ***,tuning of conventional PI controller gains considering frequency variation is very *** it is necessary to develop an adaptive intelligent nonlinear controller to tackle the effects of frequency variation,voltage distortion and non-linear load *** paper presents the importance of considering the effects of the frequency variation,grid voltage distortion and non-linear load,while designing and deploying a controller for power quality *** proposed controller supplies power to local load as well as transferring surplus power to the grid from DG along with the additional ben-efit of improving grid power quality.A DG with an ANFIS optimized PI current controller for power quality enhance-ment is *** method is economical as it requires no additional *** are compared with PI,PI-RC and fuzzy current controllers to validate the effectiveness of the proposed controller.

关键词： Adaptive neuro fuzzy inference system(ANFIS) Fuzzy logic PI controller Distributed generation(DG) Proton exchange membrane fuel cells(PEMFC) Total harmonic distortion(THD)

Nanotechnology-Based Advancements in Postharvest Management of Horticultural Crops

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Phyton-International Journal of Experimental Botany 2022年第3期91卷 471-487页

作者： Tarun kumar Upadhyay v.S.varun kumar Amit Baran Sharangi vijay J.Upadhye Fahad Khan Pratibha Pandey Mohammad Amjad Kamal Abrar Yasin Baba Khalid Rehman Hakeem Department of Biotechnology Parul Institute of Applied Sciences and Centre of Research for DevelopmentParul UniversityVadodara391760India Department of Genetics and Plant Breeding Lovely Professional UniversityPunjabPhagwara144402India Department of Plantation SpicesMedicinal&Aromatic CropsBCKV-Agricultural UniversityMohanpurNadiaWest Bengal741252India Department of Biotechnology Noida Institute of Engineering&TechnologyGreaterNoida201306India West China School of Nursing/Institutes for Systems Genetics Frontiers Science Center for Disease-Related Molecular NetworkWest China HospitalSichuan UniversityChengdu610041China King Fahd Medical Research Center King Abdulaziz UniversityJeddah21589Saudi Arabia Enzymoics Novel Global Community Educational FoundationSydney201101Australia Department of Plant Sciences Mettu University-Bedele College of Agriculture and ForestryBedele CampusBedele318Ethiopia Department of Biological Sciences Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Horticulture is a branch of Agricultural science where it is defined as the science and art of cultivating and handling fruits,vegetables,ornamental plants and several plants having unique medicinal and aromatic *** crops provide farmers with high income and have good export quality,but they have a concern about postharvest ***,increasing productivity and decreasing post-harvest losses by using scientific studies and techniques like biotechnology and nanotechnology could be the simplest possible solution to the above-mentioned *** nanotechnology which is having the characteristics of nanoparticles is proven to be very useful in science and technological ***-based formulations increase the product quality and the shelf life of horticultural products and provide multiple ways of inhibiting the growth and development of *** is precisely a new edible packaging coverage(film)that controls the exchange of gases and prevents damage from harmful rays such as ultraviolet radiation to a greater *** strength by using nano biosensors for labeling products is considered a fundamental process to automated control of storage *** rotting of vegetables is recognized to be an oxidative reaction and microbial deterioration as *** review will address all such nanotechnology-based advancements for minimizing post-harvest losses of horticultural crops and enhancing the socio-economical progress of growers in particular.

关键词： Nanotechnology horticultural crops post-harvest fruits vegetables

Effect of types of reinforcement on plastic hinge rotation parameters of RC beams under pushover and cyclic loading

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Earthquake Engineering and Engineering vibration 2015年第3期14卷 503-516页

作者： v.v.S.Surya kumar Dadi Pankaj Agarwal Department of Civil Engineering Institute of Technology Guru Ghasidas Vishwavidyalaya Bilaspur (C.G.) India Assistant Professor Department of Earthquake Engineering Indian Institute of Technology Roorkee

Experimental evaluation of reinforced concrete beam specimens with different characteristics of reinforcement subjected to pushover and cyclic loading is *** hinge rotation parameters are determined based on the idealization of pushover and hysteresis curves of reinforced concrete beam specimens constructed in two percentage of reinforcement(0.471%and 0.71%) with different ductile *** experimental test results provide a clear demarcation of the effect of types of loading and the types of reinforcement on the nonlinear performance characteristics of beam *** results are helpful to update the nonlinear modeling parameters of beam components for the specific type of reinforcement used in the construction of a *** updated non-linear modeling parameters of beam components in lumped plasticity model are compared with the values of ASCE/SEI 41-06(2007) used for the performance based design of structures.

关键词： concrete structures pushover loads cyclic loads hy

Stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 900-912页

作者： K.Jithin N.Mayadevi R.Hari kumar v.P.Mini the Department of Electrical Engineering College of Engineering TrivandrumAPJ Abdul Kalam Technological University(APJAKTU)ThiruvananthapuramIndia

DC microgrids(DCMGs)are made up of a network of sources and loads that are connected by a number of power electronic converters(PECs).The increase in the number of these PECs instigates major concerns in system *** interconnecting the microgrids to form a cluster,the system stability must be *** paper proposes a novel stepby-step system matrix building(SMB)algorithm to update the system matrix of an existing DCMG cluster when a new microgrid is added to the cluster through a distribution *** stability of the individual DCMGs and the DCMG cluster is analyzed using the eigenvalue ***,the particle swarm optimization(PSO)algorithm is used to retune the controller gains if the newly formed cluster is not *** simulation of the DCMG cluster is carried out in MATLAB/Simulink environment to test the proposed *** results are also validated using the OP4510 real-time simulator(RTS).

关键词： Converter DC microgrid cluster eigenvalue interconnection particle swarm optimization system stability system matrix